An eigenvalue interlacing approach to Garland's method
Alan Lew

TL;DR
This paper extends Garland's vanishing theorem for simplicial complexes by using an eigenvalue interlacing approach to relate homology dimensions to spectral properties of links, providing a new local-to-global principle.
Contribution
It introduces a novel eigenvalue interlacing method to generalize Garland's theorem, connecting spectral data of links to homology vanishing conditions.
Findings
Generalizes Garland's vanishing theorem using eigenvalue interlacing
Provides bounds on homology dimensions based on spectral data
Introduces an abstract local-to-global principle for simplicial complexes
Abstract
Let be a pure -dimensional simplicial complex. For , let be the set of -dimensional faces of , let be the -dimensional weighted total Laplacian operator on , and let be its -dimensional reduced homology group with real coefficients. For , let be the link of in . For a matrix , we denote by the multi-set containing all the eigenvalues of . We show that, for every , \[ \text{dim}(\tilde{H}_k(X;\mathbb{R}))\le \sum_{\eta\in X(\ell)}\left| \left\{ \lambda\in \text{Spec}(\tilde{L}_{k-\ell-1}(\text{lk}(X,\eta))) :\, \lambda\le \frac{(\ell+1)(d-k)}{k+1}\right\}\right|. \] This extends the classical vanishing theorem of Garland, corresponding to the special case when the right hand side of the inequality is equal to…
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